Overview

Brought to you by YData

Dataset statistics

Number of variables	22
Number of observations	40
Missing cells	6
Missing cells (%)	0.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.0 KiB
Average record size in memory	179.3 B

Variable types

Numeric	17
Categorical	5

Alerts

`August` is highly overall correlated with `Count`	High correlation
`Count` is highly overall correlated with `August` and 1 other fields	High correlation
`February` is highly overall correlated with `July`	High correlation
`Firstname` is highly overall correlated with `Last,First` and 1 other fields	High correlation
`January` is highly overall correlated with `df_mycolumn` and 1 other fields	High correlation
`July` is highly overall correlated with `February`	High correlation
`Last,First` is highly overall correlated with `Firstname` and 1 other fields	High correlation
`Lastname` is highly overall correlated with `Firstname` and 1 other fields	High correlation
`May` is highly overall correlated with `Count`	High correlation
`Price` is highly overall correlated with `Product Name`	High correlation
`Product Name` is highly overall correlated with `Price`	High correlation
`df_mycolumn` is highly overall correlated with `January` and 1 other fields	High correlation
`tax` is highly overall correlated with `January` and 1 other fields	High correlation
`March` has 1 (2.5%) missing values	Missing
`April` has 1 (2.5%) missing values	Missing
`August` has 1 (2.5%) missing values	Missing
`Count` has 3 (7.5%) missing values	Missing
`ID` has unique values	Unique
`September` has unique values	Unique
`December` has unique values	Unique
`df_mycolumn` has unique values	Unique
`tax` has unique values	Unique

Reproduction

Analysis started	2025-04-11 12:53:43.607503
Analysis finished	2025-04-11 12:54:17.135608
Duration	33.53 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

ID
Real number (ℝ)

Unique

Distinct	40
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.675

Minimum	3
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	3
5-th percentile	6.9
Q1	16.75
median	28
Q3	39.25
95-th percentile	48.05
Maximum	50
Range	47
Interquartile range (IQR)	22.5

Descriptive statistics

Standard deviation	13.982384
Coefficient of variation (CV)	0.50523518
Kurtosis	-1.2057244
Mean	27.675
Median Absolute Deviation (MAD)	11.5
Skewness	-0.068536146
Sum	1107
Variance	195.50705
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
3	1	2.5%
5	1	2.5%
7	1	2.5%
8	1	2.5%
9	1	2.5%
10	1	2.5%
11	1	2.5%
12	1	2.5%
14	1	2.5%
16	1	2.5%
Other values (30)	30	75.0%

Value	Count	Frequency (%)
3	1	2.5%
5	1	2.5%
7	1	2.5%
8	1	2.5%
9	1	2.5%
10	1	2.5%
11	1	2.5%
12	1	2.5%
14	1	2.5%
16	1	2.5%

Value	Count	Frequency (%)
50	1	2.5%
49	1	2.5%
48	1	2.5%
47	1	2.5%
46	1	2.5%
45	1	2.5%
44	1	2.5%
43	1	2.5%
41	1	2.5%
40	1	2.5%

Last,First
Categorical

High correlation

Distinct	11
Distinct (%)	27.5%
Missing	0
Missing (%)	0.0%
Memory size	452.0 B

Brennan, Micheal	5
David, Chloe	5
Albertson, Kathy	5
Altman, Zoey	4
Bittiman, William	4
Other values (6)	17

Length

Max length	19
Median length	16.5
Mean length	15.1
Min length	11

Characters and Unicode

Total characters	604
Distinct characters	34
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Altman, Zoey
2nd row	Brennan, Micheal
3rd row	Altman, Zoey
4th row	David, Chloe
5th row	Brennan, Micheal

Common Values

Value	Count	Frequency (%)
Brennan, Micheal	5	12.5%
David, Chloe	5	12.5%
Albertson, Kathy	5	12.5%
Altman, Zoey	4	10.0%
Bittiman, William	4	10.0%
Ferguson, Elizabeth	3	7.5%
Allenson, Carol	3	7.5%
Counts, Elizabeth	3	7.5%
Davis, William	3	7.5%
Jameson, Robinson	3	7.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
william	7	8.8%
elizabeth	6	7.5%
brennan	5	6.2%
micheal	5	6.2%
chloe	5	6.2%
david	5	6.2%
albertson	5	6.2%
kathy	5	6.2%
zoey	4	5.0%
altman	4	5.0%
Other values (10)	29	36.2%

Most occurring characters

Value	Count	Frequency (%)
a	52	8.6%
l	50	8.3%
n	49	8.1%
i	46	7.6%
e	41	6.8%
,	40	6.6%
	40	6.6%
o	37	6.1%
t	31	5.1%
s	25	4.1%
Other values (24)	193	32.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	604	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	52	8.6%
l	50	8.3%
n	49	8.1%
i	46	7.6%
e	41	6.8%
,	40	6.6%
	40	6.6%
o	37	6.1%
t	31	5.1%
s	25	4.1%
Other values (24)	193	32.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	604	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	52	8.6%
l	50	8.3%
n	49	8.1%
i	46	7.6%
e	41	6.8%
,	40	6.6%
	40	6.6%
o	37	6.1%
t	31	5.1%
s	25	4.1%
Other values (24)	193	32.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	604	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	52	8.6%
l	50	8.3%
n	49	8.1%
i	46	7.6%
e	41	6.8%
,	40	6.6%
	40	6.6%
o	37	6.1%
t	31	5.1%
s	25	4.1%
Other values (24)	193	32.0%

Product Name
Categorical

High correlation

Distinct	5
Distinct (%)	12.5%
Missing	0
Missing (%)	0.0%
Memory size	452.0 B

Calculator	9
Mobile	8
Camera	8
Laptop	8
Computer	7

Length

Max length	10
Median length	6
Mean length	7.25
Min length	6

Characters and Unicode

Total characters	290
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Computer
2nd row	Calculator
3rd row	Camera
4th row	Computer
5th row	Mobile

Common Values

Value	Count	Frequency (%)
Calculator	9	22.5%
Mobile	8	20.0%
Camera	8	20.0%
Laptop	8	20.0%
Computer	7	17.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
calculator	9	22.5%
mobile	8	20.0%
camera	8	20.0%
laptop	8	20.0%
computer	7	17.5%

Most occurring characters

Value	Count	Frequency (%)
a	42	14.5%
o	32	11.0%
l	26	9.0%
C	24	8.3%
t	24	8.3%
r	24	8.3%
e	23	7.9%
p	23	7.9%
u	16	5.5%
m	15	5.2%
Other values (5)	41	14.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	290	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	42	14.5%
o	32	11.0%
l	26	9.0%
C	24	8.3%
t	24	8.3%
r	24	8.3%
e	23	7.9%
p	23	7.9%
u	16	5.5%
m	15	5.2%
Other values (5)	41	14.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	290	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	42	14.5%
o	32	11.0%
l	26	9.0%
C	24	8.3%
t	24	8.3%
r	24	8.3%
e	23	7.9%
p	23	7.9%
u	16	5.5%
m	15	5.2%
Other values (5)	41	14.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	290	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	42	14.5%
o	32	11.0%
l	26	9.0%
C	24	8.3%
t	24	8.3%
r	24	8.3%
e	23	7.9%
p	23	7.9%
u	16	5.5%
m	15	5.2%
Other values (5)	41	14.1%

Price
Categorical

High correlation

Distinct	4
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	452.0 B

3000	15
500	9
1000	8
2000	8

Length

Max length	4
Median length	4
Mean length	3.775
Min length	3

Characters and Unicode

Total characters	151
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3000
2nd row	500
3rd row	3000
4th row	3000
5th row	1000

Common Values

Value	Count	Frequency (%)
3000	15	37.5%
500	9	22.5%
1000	8	20.0%
2000	8	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3000	15	37.5%
500	9	22.5%
1000	8	20.0%
2000	8	20.0%

Most occurring characters

Value	Count	Frequency (%)
0	111	73.5%
3	15	9.9%
5	9	6.0%
1	8	5.3%
2	8	5.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	151	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	111	73.5%
3	15	9.9%
5	9	6.0%
1	8	5.3%
2	8	5.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	151	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	111	73.5%
3	15	9.9%
5	9	6.0%
1	8	5.3%
2	8	5.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	151	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	111	73.5%
3	15	9.9%
5	9	6.0%
1	8	5.3%
2	8	5.3%

January
Real number (ℝ)

High correlation

Distinct	37
Distinct (%)	92.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6752.375

Minimum	1700
Maximum	16000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	1700
5-th percentile	2354
Q1	4894.5
median	6459.5
Q3	8648
95-th percentile	9797.65
Maximum	16000
Range	14300
Interquartile range (IQR)	3753.5

Descriptive statistics

Standard deviation	2810.8437
Coefficient of variation (CV)	0.41627483
Kurtosis	1.5937216
Mean	6752.375
Median Absolute Deviation (MAD)	2133.5
Skewness	0.54132587
Sum	270095
Variance	7900842.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
4300	2	5.0%
2354	2	5.0%
8563	2	5.0%
8900	1	2.5%
7800	1	2.5%
4200	1	2.5%
9300	1	2.5%
1700	1	2.5%
4290	1	2.5%
8000	1	2.5%
Other values (27)	27	67.5%

Value	Count	Frequency (%)
1700	1	2.5%
2354	2	5.0%
2355	1	2.5%
2578	1	2.5%
4200	1	2.5%
4290	1	2.5%
4300	2	5.0%
4578	1	2.5%
5000	1	2.5%
5300	1	2.5%

Value	Count	Frequency (%)
16000	1	2.5%
10000	1	2.5%
9787	1	2.5%
9674	1	2.5%
9500	1	2.5%
9300	1	2.5%
9077	1	2.5%
9050	1	2.5%
8900	1	2.5%
8657	1	2.5%

February
Real number (ℝ)

High correlation

Distinct	36
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6550.375

Minimum	2319
Maximum	15389
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	2319
5-th percentile	3055
Q1	4847.75
median	6572.5
Q3	7883.75
95-th percentile	9914.1
Maximum	15389
Range	13070
Interquartile range (IQR)	3036

Descriptive statistics

Standard deviation	2588.1819
Coefficient of variation (CV)	0.39511965
Kurtosis	2.1068093
Mean	6550.375
Median Absolute Deviation (MAD)	1483.5
Skewness	0.8535907
Sum	262015
Variance	6698685.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
5479	2	5.0%
7534	2	5.0%
6020	2	5.0%
3500	2	5.0%
6281	1	2.5%
5490	1	2.5%
9639	1	2.5%
10600	1	2.5%
4391	1	2.5%
6391	1	2.5%
Other values (26)	26	65.0%

Value	Count	Frequency (%)
2319	1	2.5%
2352	1	2.5%
3092	1	2.5%
3435	1	2.5%
3465	1	2.5%
3500	2	5.0%
4020	1	2.5%
4200	1	2.5%
4391	1	2.5%
5000	1	2.5%

Value	Count	Frequency (%)
15389	1	2.5%
10600	1	2.5%
9878	1	2.5%
9835	1	2.5%
9639	1	2.5%
9018	1	2.5%
8674	1	2.5%
8533	1	2.5%
8192	1	2.5%
7967	1	2.5%

March
Real number (ℝ)

Missing

Distinct	39
Distinct (%)	100.0%
Missing	1
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	5493.0769

Minimum	1685
Maximum	13531
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	1685
5-th percentile	2294.2
Q1	3385
median	4685
Q3	7205.5
95-th percentile	9848.4
Maximum	13531
Range	11846
Interquartile range (IQR)	3820.5

Descriptive statistics

Standard deviation	2851.1483
Coefficient of variation (CV)	0.51904394
Kurtosis	0.065181789
Mean	5493.0769
Median Absolute Deviation (MAD)	1861
Skewness	0.78156072
Sum	214230
Variance	8129046.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
5389	1	2.5%
3623	1	2.5%
5430	1	2.5%
2347	1	2.5%
8732	1	2.5%
2937	1	2.5%
3513	1	2.5%
5413	1	2.5%
6515	1	2.5%
6546	1	2.5%
Other values (29)	29	72.5%

Value	Count	Frequency (%)
1685	1	2.5%
1864	1	2.5%
2342	1	2.5%
2344	1	2.5%
2345	1	2.5%
2347	1	2.5%
2477	1	2.5%
2648	1	2.5%
2937	1	2.5%
3257	1	2.5%

Value	Count	Frequency (%)
13531	1	2.5%
9879	1	2.5%
9845	1	2.5%
9735	1	2.5%
9676	1	2.5%
9347	1	2.5%
8732	1	2.5%
8616	1	2.5%
8353	1	2.5%
7657	1	2.5%

April
Real number (ℝ)

Missing

Distinct	33
Distinct (%)	84.6%
Missing	1
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	1557.5641

Minimum	1200
Maximum	2335
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	1200
5-th percentile	1233.9
Q1	1352.5
median	1468
Q3	1685.5
95-th percentile	1974.5
Maximum	2335
Range	1135
Interquartile range (IQR)	333

Descriptive statistics

Standard deviation	269.87793
Coefficient of variation (CV)	0.17326923
Kurtosis	0.3184953
Mean	1557.5641
Median Absolute Deviation (MAD)	142
Skewness	0.89926202
Sum	60745
Variance	72834.094
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
1546	3	7.5%
1369	2	5.0%
1468	2	5.0%
1336	2	5.0%
1235	2	5.0%
1475	1	2.5%
1455	1	2.5%
1458	1	2.5%
1614	1	2.5%
1964	1	2.5%
Other values (23)	23	57.5%

Value	Count	Frequency (%)
1200	1	2.5%
1224	1	2.5%
1235	2	5.0%
1256	1	2.5%
1265	1	2.5%
1326	1	2.5%
1328	1	2.5%
1336	2	5.0%
1369	2	5.0%
1423	1	2.5%

Value	Count	Frequency (%)
2335	1	2.5%
1979	1	2.5%
1974	1	2.5%
1968	1	2.5%
1964	1	2.5%
1943	1	2.5%
1895	1	2.5%
1867	1	2.5%
1846	1	2.5%
1725	1	2.5%

May
Real number (ℝ)

High correlation

Distinct	39
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7175.95

Minimum	2548
Maximum	19465
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	2548
5-th percentile	2751.95
Q1	4261
median	6885
Q3	9678.25
95-th percentile	12520.9
Maximum	19465
Range	16917
Interquartile range (IQR)	5417.25

Descriptive statistics

Standard deviation	3631.0028
Coefficient of variation (CV)	0.50599611
Kurtosis	2.05085
Mean	7175.95
Median Absolute Deviation (MAD)	2829.5
Skewness	1.1720157
Sum	287038
Variance	13184181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
3734	2	5.0%
9832	1	2.5%
9787	1	2.5%
7303	1	2.5%
8463	1	2.5%
10378	1	2.5%
8742	1	2.5%
14932	1	2.5%
2732	1	2.5%
4853	1	2.5%
Other values (29)	29	72.5%

Value	Count	Frequency (%)
2548	1	2.5%
2732	1	2.5%
2753	1	2.5%
3235	1	2.5%
3458	1	2.5%
3465	1	2.5%
3718	1	2.5%
3734	2	5.0%
3973	1	2.5%
4357	1	2.5%

Value	Count	Frequency (%)
19465	1	2.5%
14932	1	2.5%
12394	1	2.5%
11394	1	2.5%
11384	1	2.5%
10378	1	2.5%
10347	1	2.5%
9844	1	2.5%
9832	1	2.5%
9787	1	2.5%

June
Real number (ℝ)

Distinct	39
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15400.975

Minimum	10382
Maximum	20473
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	10382
5-th percentile	10901.85
Q1	12885.5
median	15143.5
Q3	18686.25
95-th percentile	19611.4
Maximum	20473
Range	10091
Interquartile range (IQR)	5800.75

Descriptive statistics

Standard deviation	3122.2664
Coefficient of variation (CV)	0.20273174
Kurtosis	-1.4240367
Mean	15400.975
Median Absolute Deviation (MAD)	2620
Skewness	0.040955471
Sum	616039
Variance	9748547.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
19374	2	5.0%
18930	1	2.5%
10382	1	2.5%
17349	1	2.5%
12937	1	2.5%
11273	1	2.5%
14392	1	2.5%
12731	1	2.5%
19263	1	2.5%
12232	1	2.5%
Other values (29)	29	72.5%

Value	Count	Frequency (%)
10382	1	2.5%
10500	1	2.5%
10923	1	2.5%
11047	1	2.5%
11273	1	2.5%
12122	1	2.5%
12232	1	2.5%
12320	1	2.5%
12654	1	2.5%
12731	1	2.5%

Value	Count	Frequency (%)
20473	1	2.5%
19676	1	2.5%
19608	1	2.5%
19374	2	5.0%
19283	1	2.5%
19263	1	2.5%
19065	1	2.5%
18930	1	2.5%
18774	1	2.5%
18657	1	2.5%

July
Real number (ℝ)

High correlation

Distinct	35
Distinct (%)	87.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1569.275

Minimum	1002
Maximum	1983
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	1002
5-th percentile	1088.5
Q1	1355.75
median	1543
Q3	1840.25
95-th percentile	1977.3
Maximum	1983
Range	981
Interquartile range (IQR)	484.5

Descriptive statistics

Standard deviation	276.28812
Coefficient of variation (CV)	0.176061
Kurtosis	-0.81476686
Mean	1569.275
Median Absolute Deviation (MAD)	212
Skewness	-0.20121902
Sum	62771
Variance	76335.128
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
1543	2	5.0%
1983	2	5.0%
1939	2	5.0%
1356	2	5.0%
1864	2	5.0%
1329	1	2.5%
1853	1	2.5%
1093	1	2.5%
1503	1	2.5%
1266	1	2.5%
Other values (25)	25	62.5%

Value	Count	Frequency (%)
1002	1	2.5%
1003	1	2.5%
1093	1	2.5%
1245	1	2.5%
1266	1	2.5%
1283	1	2.5%
1326	1	2.5%
1329	1	2.5%
1345	1	2.5%
1355	1	2.5%

Value	Count	Frequency (%)
1983	2	5.0%
1977	1	2.5%
1939	2	5.0%
1876	1	2.5%
1874	1	2.5%
1864	2	5.0%
1853	1	2.5%
1836	1	2.5%
1792	1	2.5%
1753	1	2.5%

August
Real number (ℝ)

High correlation Missing

Distinct	38
Distinct (%)	97.4%
Missing	1
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	5503.2308

Minimum	2284
Maximum	9763
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	2284
5-th percentile	2543
Q1	3487
median	4653
Q3	7769.5
95-th percentile	9556.7
Maximum	9763
Range	7479
Interquartile range (IQR)	4282.5

Descriptive statistics

Standard deviation	2445.2093
Coefficient of variation (CV)	0.44432251
Kurtosis	-1.3147551
Mean	5503.2308
Median Absolute Deviation (MAD)	1804
Skewness	0.40385239
Sum	214626
Variance	5979048.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
2728	2	5.0%
3496	1	2.5%
3497	1	2.5%
9743	1	2.5%
8623	1	2.5%
2345	1	2.5%
4598	1	2.5%
3564	1	2.5%
3464	1	2.5%
2849	1	2.5%
Other values (28)	28	70.0%

Value	Count	Frequency (%)
2284	1	2.5%
2345	1	2.5%
2565	1	2.5%
2728	2	5.0%
2845	1	2.5%
2849	1	2.5%
3246	1	2.5%
3464	1	2.5%
3478	1	2.5%
3496	1	2.5%

Value	Count	Frequency (%)
9763	1	2.5%
9743	1	2.5%
9536	1	2.5%
8992	1	2.5%
8765	1	2.5%
8623	1	2.5%
8567	1	2.5%
8564	1	2.5%
8461	1	2.5%
7883	1	2.5%

September
Real number (ℝ)

Unique

Distinct	40
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8102.1

Minimum	3456
Maximum	17955
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	3456
5-th percentile	3647.75
Q1	5422
median	8208
Q3	9693.75
95-th percentile	14273.4
Maximum	17955
Range	14499
Interquartile range (IQR)	4271.75

Descriptive statistics

Standard deviation	3176.8838
Coefficient of variation (CV)	0.39210622
Kurtosis	1.3890089
Mean	8102.1
Median Absolute Deviation (MAD)	1647.5
Skewness	0.86383424
Sum	324084
Variance	10092591
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
4828	1	2.5%
8462	1	2.5%
8575	1	2.5%
8846	1	2.5%
5588	1	2.5%
10399	1	2.5%
15003	1	2.5%
7452	1	2.5%
4028	1	2.5%
8746	1	2.5%
Other values (30)	30	75.0%

Value	Count	Frequency (%)
3456	1	2.5%
3567	1	2.5%
3652	1	2.5%
4028	1	2.5%
4567	1	2.5%
4729	1	2.5%
4754	1	2.5%
4828	1	2.5%
4853	1	2.5%
4924	1	2.5%

Value	Count	Frequency (%)
17955	1	2.5%
15003	1	2.5%
14235	1	2.5%
11457	1	2.5%
10789	1	2.5%
10785	1	2.5%
10399	1	2.5%
9876	1	2.5%
9835	1	2.5%
9756	1	2.5%

October
Real number (ℝ)

Distinct	39
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6630.05

Minimum	1345
Maximum	17443
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	1345
5-th percentile	2456.4
Q1	3329.25
median	6362.5
Q3	8581.25
95-th percentile	13579.4
Maximum	17443
Range	16098
Interquartile range (IQR)	5252

Descriptive statistics

Standard deviation	3933.9967
Coefficient of variation (CV)	0.59335852
Kurtosis	0.44021435
Mean	6630.05
Median Absolute Deviation (MAD)	2951.5
Skewness	0.9363721
Sum	265202
Variance	15476330
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
3246	2	5.0%
12664	1	2.5%
6347	1	2.5%
2578	1	2.5%
9646	1	2.5%
5573	1	2.5%
8524	1	2.5%
3674	1	2.5%
5789	1	2.5%
17443	1	2.5%
Other values (29)	29	72.5%

Value	Count	Frequency (%)
1345	1	2.5%
2445	1	2.5%
2457	1	2.5%
2458	1	2.5%
2545	1	2.5%
2578	1	2.5%
2597	1	2.5%
2857	1	2.5%
3246	2	5.0%
3357	1	2.5%

Value	Count	Frequency (%)
17443	1	2.5%
15734	1	2.5%
13466	1	2.5%
12876	1	2.5%
12664	1	2.5%
10433	1	2.5%
9646	1	2.5%
9644	1	2.5%
9578	1	2.5%
8753	1	2.5%

November
Real number (ℝ)

Distinct	38
Distinct (%)	95.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6054.325

Minimum	1043
Maximum	9957
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	1043
5-th percentile	2318.2
Q1	3645.75
median	5347
Q3	8668.75
95-th percentile	9836.6
Maximum	9957
Range	8914
Interquartile range (IQR)	5023

Descriptive statistics

Standard deviation	2753.9586
Coefficient of variation (CV)	0.45487458
Kurtosis	-1.4716296
Mean	6054.325
Median Absolute Deviation (MAD)	2627
Skewness	-0.048759417
Sum	242173
Variance	7584287.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
5347	2	5.0%
4643	2	5.0%
4564	1	2.5%
8445	1	2.5%
7746	1	2.5%
8463	1	2.5%
3558	1	2.5%
9957	1	2.5%
2246	1	2.5%
8946	1	2.5%
Other values (28)	28	70.0%

Value	Count	Frequency (%)
1043	1	2.5%
2246	1	2.5%
2322	1	2.5%
2486	1	2.5%
2567	1	2.5%
2675	1	2.5%
2765	1	2.5%
2876	1	2.5%
3357	1	2.5%
3558	1	2.5%

Value	Count	Frequency (%)
9957	1	2.5%
9867	1	2.5%
9835	1	2.5%
9684	1	2.5%
9577	1	2.5%
9547	1	2.5%
8946	1	2.5%
8857	1	2.5%
8764	1	2.5%
8746	1	2.5%

December
Real number (ℝ)

Unique

Distinct	40
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6671.525

Minimum	2324
Maximum	15887
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	2324
5-th percentile	2394.45
Q1	4048
median	6760.5
Q3	8673.75
95-th percentile	9910.7
Maximum	15887
Range	13563
Interquartile range (IQR)	4625.75

Descriptive statistics

Standard deviation	2907.8995
Coefficient of variation (CV)	0.43586729
Kurtosis	0.87350876
Mean	6671.525
Median Absolute Deviation (MAD)	2052
Skewness	0.5637456
Sum	266861
Variance	8455879.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
2397	1	2.5%
3456	1	2.5%
2346	1	2.5%
8655	1	2.5%
3457	1	2.5%
8856	1	2.5%
9535	1	2.5%
2324	1	2.5%
8566	1	2.5%
6534	1	2.5%
Other values (30)	30	75.0%

Value	Count	Frequency (%)
2324	1	2.5%
2346	1	2.5%
2397	1	2.5%
3344	1	2.5%
3427	1	2.5%
3456	1	2.5%
3457	1	2.5%
3458	1	2.5%
3465	1	2.5%
3478	1	2.5%

Value	Count	Frequency (%)
15887	1	2.5%
10646	1	2.5%
9872	1	2.5%
9674	1	2.5%
9546	1	2.5%
9535	1	2.5%
8856	1	2.5%
8769	1	2.5%
8765	1	2.5%
8676	1	2.5%

df_mycolumn
Real number (ℝ)

High correlation Unique

Distinct	40
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13302.75

Minimum	9211
Maximum	20689
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	9211
5-th percentile	10009.6
Q1	10854.5
median	13142
Q3	15032.5
95-th percentile	18535.2
Maximum	20689
Range	11478
Interquartile range (IQR)	4178

Descriptive statistics

Standard deviation	2867.2119
Coefficient of variation (CV)	0.21553527
Kurtosis	-0.1970205
Mean	13302.75
Median Absolute Deviation (MAD)	2265
Skewness	0.74419192
Sum	532110
Variance	8220903.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
14900	1	2.5%
18539	1	2.5%
13290	1	2.5%
15581	1	2.5%
11731	1	2.5%
10718	1	2.5%
10681	1	2.5%
13441	1	2.5%
20689	1	2.5%
14020	1	2.5%
Other values (30)	30	75.0%

Value	Count	Frequency (%)
9211	1	2.5%
9888	1	2.5%
10016	1	2.5%
10289	1	2.5%
10321	1	2.5%
10453	1	2.5%
10560	1	2.5%
10579	1	2.5%
10681	1	2.5%
10718	1	2.5%

Value	Count	Frequency (%)
20689	1	2.5%
18539	1	2.5%
18535	1	2.5%
18319	1	2.5%
17530	1	2.5%
17096	1	2.5%
16097	1	2.5%
15635	1	2.5%
15581	1	2.5%
15430	1	2.5%

tax
Real number (ℝ)

High correlation Unique

Distinct	40
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1995.4125

Minimum	1381.65
Maximum	3103.35
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	1381.65
5-th percentile	1501.44
Q1	1628.175
median	1971.3
Q3	2254.875
95-th percentile	2780.28
Maximum	3103.35
Range	1721.7
Interquartile range (IQR)	626.7

Descriptive statistics

Standard deviation	430.08178
Coefficient of variation (CV)	0.21553527
Kurtosis	-0.1970205
Mean	1995.4125
Median Absolute Deviation (MAD)	339.75
Skewness	0.74419192
Sum	79816.5
Variance	184970.34
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
2235	1	2.5%
2780.85	1	2.5%
1993.5	1	2.5%
2337.15	1	2.5%
1759.65	1	2.5%
1607.7	1	2.5%
1602.15	1	2.5%
2016.15	1	2.5%
3103.35	1	2.5%
2103	1	2.5%
Other values (30)	30	75.0%

Value	Count	Frequency (%)
1381.65	1	2.5%
1483.2	1	2.5%
1502.4	1	2.5%
1543.35	1	2.5%
1548.15	1	2.5%
1567.95	1	2.5%
1584	1	2.5%
1586.85	1	2.5%
1602.15	1	2.5%
1607.7	1	2.5%

Value	Count	Frequency (%)
3103.35	1	2.5%
2780.85	1	2.5%
2780.25	1	2.5%
2747.85	1	2.5%
2629.5	1	2.5%
2564.4	1	2.5%
2414.55	1	2.5%
2345.25	1	2.5%
2337.15	1	2.5%
2314.5	1	2.5%

Salary
Real number (ℝ)

Distinct	7
Distinct (%)	17.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4310

Minimum	2000
Maximum	7000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	2000
5-th percentile	2000
Q1	3000
median	4250
Q3	5000
95-th percentile	7000
Maximum	7000
Range	5000
Interquartile range (IQR)	2000

Descriptive statistics

Standard deviation	1390.4067
Coefficient of variation (CV)	0.32260016
Kurtosis	-0.36551332
Mean	4310
Median Absolute Deviation (MAD)	1000
Skewness	0.21662996
Sum	172400
Variance	1933230.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
5000	8	20.0%
3000	8	20.0%
4000	8	20.0%
4500	4	10.0%
5600	4	10.0%
2000	4	10.0%
7000	4	10.0%

Value	Count	Frequency (%)
2000	4	10.0%
3000	8	20.0%
4000	8	20.0%
4500	4	10.0%
5000	8	20.0%
5600	4	10.0%
7000	4	10.0%

Value	Count	Frequency (%)
7000	4	10.0%
5600	4	10.0%
5000	8	20.0%
4500	4	10.0%
4000	8	20.0%
3000	8	20.0%
2000	4	10.0%

Lastname
Categorical

High correlation

Distinct	11
Distinct (%)	27.5%
Missing	0
Missing (%)	0.0%
Memory size	452.0 B

Brennan	5
David	5
Albertson	5
Altman	4
Bittiman	4
Other values (6)	17

Length

Max length	9
Median length	7
Mean length	6.875
Min length	5

Characters and Unicode

Total characters	275
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Altman
2nd row	Brennan
3rd row	Altman
4th row	David
5th row	Brennan

Common Values

Value	Count	Frequency (%)
Brennan	5	12.5%
David	5	12.5%
Albertson	5	12.5%
Altman	4	10.0%
Bittiman	4	10.0%
Ferguson	3	7.5%
Allenson	3	7.5%
Counts	3	7.5%
Davis	3	7.5%
Jameson	3	7.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
brennan	5	12.5%
david	5	12.5%
albertson	5	12.5%
altman	4	10.0%
bittiman	4	10.0%
ferguson	3	7.5%
allenson	3	7.5%
counts	3	7.5%
davis	3	7.5%
jameson	3	7.5%

Most occurring characters

Value	Count	Frequency (%)
n	43	15.6%
a	24	8.7%
s	22	8.0%
e	21	7.6%
t	20	7.3%
o	19	6.9%
l	17	6.2%
i	16	5.8%
r	15	5.5%
A	12	4.4%
Other values (11)	66	24.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	275	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	43	15.6%
a	24	8.7%
s	22	8.0%
e	21	7.6%
t	20	7.3%
o	19	6.9%
l	17	6.2%
i	16	5.8%
r	15	5.5%
A	12	4.4%
Other values (11)	66	24.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	275	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	43	15.6%
a	24	8.7%
s	22	8.0%
e	21	7.6%
t	20	7.3%
o	19	6.9%
l	17	6.2%
i	16	5.8%
r	15	5.5%
A	12	4.4%
Other values (11)	66	24.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	275	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	43	15.6%
a	24	8.7%
s	22	8.0%
e	21	7.6%
t	20	7.3%
o	19	6.9%
l	17	6.2%
i	16	5.8%
r	15	5.5%
A	12	4.4%
Other values (11)	66	24.0%

Firstname
Categorical

High correlation

Distinct	9
Distinct (%)	22.5%
Missing	0
Missing (%)	0.0%
Memory size	452.0 B

William	7
Elizabeth	6
Kathy	5
Micheal	5
Chloe	5
Other values (4)	12

Length

Max length	9
Median length	8
Mean length	6.225
Min length	3

Characters and Unicode

Total characters	249
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Zoey
2nd row	Micheal
3rd row	Zoey
4th row	Chloe
5th row	Micheal

Common Values

Value	Count	Frequency (%)
William	7	17.5%
Elizabeth	6	15.0%
Kathy	5	12.5%
Micheal	5	12.5%
Chloe	5	12.5%
Zoey	4	10.0%
Carol	3	7.5%
Robinson	3	7.5%
Tia	2	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
william	7	17.5%
elizabeth	6	15.0%
kathy	5	12.5%
micheal	5	12.5%
chloe	5	12.5%
zoey	4	10.0%
carol	3	7.5%
robinson	3	7.5%
tia	2	5.0%

Most occurring characters

Value	Count	Frequency (%)
l	33	13.3%
i	30	12.0%
a	28	11.2%
h	21	8.4%
e	20	8.0%
o	18	7.2%
t	11	4.4%
y	9	3.6%
b	9	3.6%
C	8	3.2%
Other values (13)	62	24.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	249	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	33	13.3%
i	30	12.0%
a	28	11.2%
h	21	8.4%
e	20	8.0%
o	18	7.2%
t	11	4.4%
y	9	3.6%
b	9	3.6%
C	8	3.2%
Other values (13)	62	24.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	249	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	33	13.3%
i	30	12.0%
a	28	11.2%
h	21	8.4%
e	20	8.0%
o	18	7.2%
t	11	4.4%
y	9	3.6%
b	9	3.6%
C	8	3.2%
Other values (13)	62	24.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	249	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	33	13.3%
i	30	12.0%
a	28	11.2%
h	21	8.4%
e	20	8.0%
o	18	7.2%
t	11	4.4%
y	9	3.6%
b	9	3.6%
C	8	3.2%
Other values (13)	62	24.9%

Count
Real number (ℝ)

High correlation Missing

Distinct	37
Distinct (%)	100.0%
Missing	3
Missing (%)	7.5%
Infinite	0
Infinite (%)	0.0%
Mean	57607.892

Minimum	39091
Maximum	80862
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	452.0 B

Quantile statistics

Minimum	39091
5-th percentile	46935.4
Q1	51538
median	56641
Q3	63621
95-th percentile	69252.4
Maximum	80862
Range	41771
Interquartile range (IQR)	12083

Descriptive statistics

Standard deviation	8786.0136
Coefficient of variation (CV)	0.15251406
Kurtosis	0.88751511
Mean	57607.892
Median Absolute Deviation (MAD)	5668
Skewness	0.63468389
Sum	2131492
Variance	77194036
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
51587	1	2.5%
60691	1	2.5%
60047	1	2.5%
65630	1	2.5%
66104	1	2.5%
51632	1	2.5%
64806	1	2.5%
66343	1	2.5%
48194	1	2.5%
54238	1	2.5%
Other values (27)	27	67.5%
(Missing)	3	7.5%

Value	Count	Frequency (%)
39091	1	2.5%
46921	1	2.5%
46939	1	2.5%
47627	1	2.5%
48194	1	2.5%
48946	1	2.5%
49512	1	2.5%
49768	1	2.5%
50973	1	2.5%
51538	1	2.5%

Value	Count	Frequency (%)
80862	1	2.5%
79830	1	2.5%
66608	1	2.5%
66384	1	2.5%
66343	1	2.5%
66104	1	2.5%
65630	1	2.5%
65527	1	2.5%
64806	1	2.5%
63621	1	2.5%

Interactions

Correlations

	April	August	Count	December	February	Firstname	ID	January	July	June	Last,First	Lastname	March	May	November	October	Price	Product Name	Salary	September	df_mycolumn	tax
April	1.000	-0.088	-0.144	0.219	0.048	0.000	0.159	-0.246	-0.077	-0.061	0.000	0.000	-0.236	-0.226	0.014	0.084	0.000	0.000	0.207	0.071	-0.227	-0.227
August	-0.088	1.000	0.569	0.283	-0.054	0.000	0.100	0.317	-0.019	-0.021	0.000	0.000	0.073	0.429	0.345	0.023	0.067	0.000	0.065	-0.201	0.334	0.334
Count	-0.144	0.569	1.000	0.076	0.085	0.000	-0.111	0.345	-0.074	0.400	0.000	0.000	0.221	0.615	0.061	-0.024	0.338	0.265	0.158	0.296	0.442	0.442
December	0.219	0.283	0.076	1.000	-0.013	0.000	0.249	0.048	0.063	-0.203	0.000	0.000	-0.305	0.079	0.225	-0.302	0.000	0.000	-0.043	0.067	0.108	0.108
February	0.048	-0.054	0.085	-0.013	1.000	0.000	-0.098	-0.460	0.623	-0.088	0.000	0.000	-0.125	0.026	-0.018	0.251	0.244	0.251	-0.155	-0.107	0.333	0.333
Firstname	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.967	0.967	0.000	0.210	0.147	0.000	0.000	0.000	0.000	0.332	0.000	0.000
ID	0.159	0.100	-0.111	0.249	-0.098	0.000	1.000	0.052	0.100	0.149	0.000	0.000	0.145	-0.321	-0.092	-0.207	0.000	0.000	-0.002	0.132	-0.171	-0.171
January	-0.246	0.317	0.345	0.048	-0.460	0.000	0.052	1.000	-0.454	0.068	0.000	0.000	0.078	0.181	0.076	-0.165	0.145	0.129	0.170	-0.091	0.592	0.592
July	-0.077	-0.019	-0.074	0.063	0.623	0.000	0.100	-0.454	1.000	-0.068	0.053	0.053	-0.129	-0.178	-0.064	0.302	0.214	0.351	-0.211	-0.108	0.037	0.037
June	-0.061	-0.021	0.400	-0.203	-0.088	0.000	0.149	0.068	-0.068	1.000	0.000	0.000	0.117	-0.037	-0.211	0.099	0.000	0.000	0.092	0.275	-0.135	-0.135
Last,First	0.000	0.000	0.000	0.000	0.000	0.967	0.000	0.000	0.053	0.000	1.000	1.000	0.000	0.292	0.000	0.000	0.207	0.000	0.100	0.339	0.000	0.000
Lastname	0.000	0.000	0.000	0.000	0.000	0.967	0.000	0.000	0.053	0.000	1.000	1.000	0.000	0.292	0.000	0.000	0.207	0.000	0.100	0.339	0.000	0.000
March	-0.236	0.073	0.221	-0.305	-0.125	0.000	0.145	0.078	-0.129	0.117	0.000	0.000	1.000	-0.087	-0.021	-0.023	0.000	0.000	0.103	0.121	-0.036	-0.036
May	-0.226	0.429	0.615	0.079	0.026	0.210	-0.321	0.181	-0.178	-0.037	0.292	0.292	-0.087	1.000	0.026	0.095	0.000	0.000	0.269	0.024	0.283	0.283
November	0.014	0.345	0.061	0.225	-0.018	0.147	-0.092	0.076	-0.064	-0.211	0.000	0.000	-0.021	0.026	1.000	-0.077	0.000	0.030	-0.013	-0.208	0.103	0.103
October	0.084	0.023	-0.024	-0.302	0.251	0.000	-0.207	-0.165	0.302	0.099	0.000	0.000	-0.023	0.095	-0.077	1.000	0.232	0.222	0.055	-0.354	0.076	0.076
Price	0.000	0.067	0.338	0.000	0.244	0.000	0.000	0.145	0.214	0.000	0.207	0.207	0.000	0.000	0.000	0.232	1.000	0.986	0.000	0.222	0.123	0.123
Product Name	0.000	0.000	0.265	0.000	0.251	0.000	0.000	0.129	0.351	0.000	0.000	0.000	0.000	0.000	0.030	0.222	0.986	1.000	0.000	0.152	0.170	0.170
Salary	0.207	0.065	0.158	-0.043	-0.155	0.000	-0.002	0.170	-0.211	0.092	0.100	0.100	0.103	0.269	-0.013	0.055	0.000	0.000	1.000	0.202	-0.024	-0.024
September	0.071	-0.201	0.296	0.067	-0.107	0.332	0.132	-0.091	-0.108	0.275	0.339	0.339	0.121	0.024	-0.208	-0.354	0.222	0.152	0.202	1.000	-0.260	-0.260
df_mycolumn	-0.227	0.334	0.442	0.108	0.333	0.000	-0.171	0.592	0.037	-0.135	0.000	0.000	-0.036	0.283	0.103	0.076	0.123	0.170	-0.024	-0.260	1.000	1.000
tax	-0.227	0.334	0.442	0.108	0.333	0.000	-0.171	0.592	0.037	-0.135	0.000	0.000	-0.036	0.283	0.103	0.076	0.123	0.170	-0.024	-0.260	1.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	ID	Last,First	Product Name	Price	January	February	March	April	May	June	July	August	September	October	November	December	df_mycolumn	tax	Salary	Lastname	Firstname	Count
0	3	Altman, Zoey	Computer	3000	4300	10600	5389.0	1475.0	9787	10382	1329	3497.0	4828	6347	7746	2397	14900	2235.00	5000	Altman	Zoey	51587.0
1	5	Brennan, Micheal	Calculator	500	8900	9639	3623.0	1369.0	9832	18930	1853	3496.0	8462	12664	8463	3456	18539	2780.85	3000	Brennan	Micheal	66104.0
2	7	Altman, Zoey	Camera	3000	7800	5490	5430.0	1614.0	8742	17349	1093	4598.0	8575	8524	4564	2346	13290	1993.50	4000	Altman	Zoey	60691.0
3	8	David, Chloe	Computer	3000	9300	6281	2347.0	1964.0	7303	12937	1326	9743.0	8846	2578	8445	8655	15581	2337.15	4500	David	Chloe	60047.0
4	9	Brennan, Micheal	Mobile	1000	4200	7531	8732.0	1646.0	8463	19374	1473	8623.0	5588	9646	9957	3457	11731	1759.65	5000	Brennan	Micheal	65630.0
5	10	Albertson, Kathy	Calculator	500	1700	9018	2937.0	1643.0	10378	11273	1939	2345.0	10399	5573	3558	8856	10718	1607.70	5600	Albertson	Kathy	51632.0
6	11	Flores, Tia	Laptop	2000	4290	6391	3513.0	1455.0	14932	14392	1266	3564.0	15003	3674	8946	9535	10681	1602.15	4000	Flores	Tia	64806.0
7	12	Bittiman, William	Camera	3000	9050	4391	5413.0	1458.0	2732	12731	1503	3464.0	7452	5789	3357	2324	13441	2016.15	3000	Bittiman	William	48194.0
8	14	Ferguson, Elizabeth	Mobile	1000	5300	15389	6515.0	1369.0	4853	19263	1983	7643.0	4028	15734	2246	8566	20689	3103.35	2000	Ferguson	Elizabeth	66343.0
9	16	Allenson, Carol	Laptop	2000	8000	6020	6546.0	1974.0	3718	12232	1453	2849.0	8746	17443	9577	6534	14020	2103.00	7000	Allenson	Carol	51538.0

	ID	Last,First	Product Name	Price	January	February	March	April	May	June	July	August	September	October	November	December	df_mycolumn	tax	Salary	Lastname	Firstname	Count
30	40	David, Chloe	Calculator	500	2354	7534	9879.0	1943.0	2548	13900	1864	4593.0	11457	3246	2675	7468	9888	1483.20	5000	David	Chloe	56072.0
31	41	Flores, Tia	Laptop	2000	5445	5479	3566.0	1546.0	4586	12654	1534	8461.0	14235	2857	9867	10646	10924	1638.60	3000	Flores	Tia	57506.0
32	43	Jameson, Robinson	Computer	3000	8657	9878	4676.0	1235.0	4357	18657	1673	4653.0	9835	2545	6245	5377	18535	2780.25	4000	Jameson	Robinson	63621.0
33	44	Bittiman, William	Mobile	1000	6854	3435	9676.0	1546.0	6467	19676	1355	8564.0	7954	1345	7895	6476	10289	1543.35	4500	Bittiman	William	65527.0
34	45	Altman, Zoey	Calculator	500	4578	6799	9347.0	NaN	7645	13874	1676	5347.0	9756	10433	4643	4238	11377	1706.55	5000	Altman	Zoey	NaN
35	46	Allenson, Carol	Laptop	2000	9674	7856	3578.0	1846.0	6456	17548	1543	7656.0	3567	8753	9835	8568	17530	2629.50	5600	Allenson	Carol	59724.0
36	47	Albertson, Kathy	Camera	3000	2355	6856	3748.0	2335.0	3458	15087	1874	3563.0	7645	12876	5347	6987	9211	1381.65	4000	Albertson	Kathy	46921.0
37	48	David, Chloe	Computer	3000	8563	8533	9735.0	1867.0	7865	12987	1647	8765.0	6646	6463	8643	9546	17096	2564.40	3000	David	Chloe	66608.0
38	49	Brennan, Micheal	Mobile	1000	6334	5365	2477.0	1968.0	3465	13987	1356	4353.0	7634	2597	7345	8769	11699	1754.85	2000	Brennan	Micheal	46939.0
39	50	Counts, Elizabeth	Calculator	500	8645	6785	9845.0	1224.0	7563	19608	1653	NaN	10789	3863	4867	7568	15430	2314.50	7000	Counts	Elizabeth	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample